Senior Data Engineer

NTT DATA, Inc.; Raleigh (NC); On-site; USD 130,000 - 180,000; Full time

Job summary

NTT DATA, Inc. is seeking a Senior Data Engineer in Charlotte, NC to design and optimize scalable data pipelines using Databricks, Python, PySpark, and SQL.

You will build document ingestion, classification, extraction, and validation pipelines for PDFs, emails, Excel files, and other business documents, integrating AI models to extract structured data. Responsibilities include ontology-based data modeling, mapping to standardized concepts, and API development for downstream applications, while

Qualifications

• 7+ years in data engineering/software development/pipeline work
• 4+ years with Databricks and scalable pipelines
• 5+ years with Python, PySpark, SQL
• 3+ years processing unstructured/semi-structured data (PDFs, emails, Excel, JSON)
• 2+ years integrating LLMs/AI models into pipelines
• 3+ years implementing structured data extraction, classification, validation, reconciliation, data quality controls
• 2+ years designing JSON outputs, APIs, data products for downstream consumption
• 2+ years PostgreSQL/Lakebase or similar relational DB
• 2+ years troubleshooting production performance/scalability/concurrency
• Strong cloud data architecture, distributed processing, and pipeline optimization
• Excellent analytical, problem-solving, communication, cross-functional collaboration

Responsibilities

• Design, develop, and optimize scalable data pipelines using Databricks, Python, PySpark, and SQL.
• Build document ingestion, classification, extraction, validation, and transformation pipelines for various file types.
• Integrate LLMs and AI models into data-processing workflows for structured extraction from documents.
• Troubleshoot false positives, metadata issues, and incorrect field values in extraction pipelines.
• Implement document classification, extraction rules, data validation, reconciliation, and quality controls.
• Transform extracted information into standardized JSON structures for downstream apps and underwriting workflows.
• Design ontology-based data models representing insurance entities and relationships.
• Map extracted attributes to standardized ontology concepts and metadata structures.
• Optimize processing of large Excel/XLSX and SOV files for performance and concurrency.
• Persist data using PostgreSQL, Lakebase, or related databases; develop APIs and data products for integration.
• Collaborate with brokerage, underwriting, AI, and data teams to align outputs with business needs.
• Monitor production pipelines and continually improve reliability and data quality.

Education

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field

Tools

Databricks

Python

PySpark

SQL

PostgreSQL

Lakebase

Delta Lake

Databricks Workflows

Delta Live Tables

AWS

Azure

Google Cloud

Job description

Company Overview:

Req ID: 395815

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Senior Data Engineer to join our team in Charlotte, North Carolina (US-NC), United States (US).

Job Description:

Job Description – Senior Data Engineer (Databricks / AI Document Processing / Ontology)

Day-to-Day Job Duties: (What this person will do on a daily/weekly basis)

• Design, develop, and optimize scalable data pipelines using Databricks, Python, PySpark, and SQL.
• Build document ingestion, classification, extraction, validation, and transformation pipelines for PDFs, emails, attachments, Excel/XLSX files, insurance applications, Statements of Values (SOVs), and other business documents.
• Integrate LLMs and AI models into data-processing workflows to extract structured information from unstructured and semi-structured documents.
• Troubleshoot false positives, incorrect metadata, and inaccurate field values generated by LLM-based extraction pipelines.
• Implement document classification, source-specific extraction rules, data validation, reconciliation, and quality-control mechanisms.
• Transform extracted information into standardized JSON structures for downstream applications and underwriting workflows.
• Design and implement ontology-based data models representing insurance entities, business concepts, and relationships.
• Map extracted document attributes to standardized ontology concepts and metadata structures.
• Optimize the processing of large and complex Excel/XLSX and SOV files, addressing performance, scalability, and concurrency challenges.
• Implement reliable data persistence using PostgreSQL, Lakebase, or related database technologies.
• Develop and maintain APIs and data products to support downstream application integration.
• Collaborate with brokerage, underwriting, AI, and data engineering teams to align extraction outputs with business requirements.
• Monitor production pipelines, troubleshoot data-processing issues, and continuously improve reliability, performance, and data quality.

Basic Qualifications: (What are the skills required for this job with minimum years of experience on each)

• Minimum 7+ years of experience in data engineering, software development, or production data pipeline development.
• Minimum 4+ years of hands‑on experience with Databricks and scalable data-processing pipelines.
• Minimum 5+ years of experience with Python, PySpark, and SQL.
• Minimum 3+ years of experience processing unstructured and semi-structured data, including PDFs, emails, Excel files, JSON, and business documents.
• Minimum 2+ years of experience integrating LLMs or AI models into document-processing or data-extraction pipelines.
• Minimum 3+ years of experience implementing structured data extraction, document classification, validation, reconciliation, and data-quality controls.
• Strong understanding of data modeling, schemas, metadata, entity relationships, and ontology or semantic modeling concepts.
• Minimum 2+ years of experience designing JSON outputs, APIs, and data products for downstream application consumption.
• Minimum 2+ years of experience with PostgreSQL, Lakebase, or similar relational database technologies.
• Minimum 2+ years of experience troubleshooting production performance, scalability, concurrency, and data-processing issues.
• Strong understanding of cloud-based data architectures, distributed processing, and pipeline optimization.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Travel: NA

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field, or equivalent professional experience.

Nice to Have:

• Experience in insurance, commercial insurance, brokerage, underwriting, or risk management.
• Experience processing insurance applications, Statements of Values (SOVs), policy documents, and underwriting submissions.
• Experience with LLM frameworks, prompt engineering, structured outputs, and AI evaluation techniques.
• Experience building custom ontologies, knowledge graphs, or semantic data layers.
• Experience with document AI, OCR, information extraction, and document intelligence platforms.
• Experience with Delta Lake, Lakehouse architecture, Databricks Workflows, and Delta Live Tables.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience optimizing large-scale document ingestion and distributed processing workloads.

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start‑up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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